Showing posts with label German speech. Show all posts
Showing posts with label German speech. Show all posts

Sunday, May 17, 2026

LDC May 2026 Newsletter

New publications:

MADCAT Phases 1-3 Composite Evaluation Set

CALLHOME German Second Edition

CALLHOME German Lexicon Second Edition

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New publications:

MADCAT Phases 1-3 Composite Evaluation Set contains the evaluation data created by LDC for Phases 1-3 of the DARPA MADCAT program and the NIST OpenHaRT 2010 and 2013 evaluations. It consists of handwritten Arabic documents scanned at high resolution and annotated for the physical coordinates of each line and token, digital transcripts, and English translations with content and annotation layers integrated in a single MADCAT XML output. 
This release includes 1,643 images and corresponding annotation files. Source documents were web text and newswire collected by LDC. Arabic speaking scribes copied documents by hand, following specific instructions as to the writing style, writing implement and paper. Each page was scanned and the images annotated. 

The goal of the MADCAT program was to automatically convert foreign language text images into English transcripts for use by humans and downstream processes, including summarization and information extraction. The core evaluation task in MADCAT was the translation of handwritten Arabic documents.

2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

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CALLHOME German Second Edition was developed by LDC and contains 48 hours of speech from 100 unscripted telephone conversations between native German speakers. This publication is a re-release of the original CALLHOME German collection, combining CALLHOME German Speech (LDC97S43) and CALLHOME German Transcripts (LDC97T15), with additional transcription and updated directory structure, file formats, and documentation.

This release contains the 100 telephone conversations published in CALLHOME German Speech which represented training data (80 calls) and development data (20 calls). Participants spoke on topics of their choice in a single telephone call lasting up to 30 minutes. Calls were manually audited for language, recording quality, channel characteristics, dialect, and region. For this second edition, all audio was converted from SPHERE files to FLAC format, and the original training/development partitioning was removed. 

This release also features revised transcripts conforming to updated LDC transcription guidelines that addressed normalization of annotation formats, standardization of speaker-produced and background noises, application of foreign-language marking, whitespace cleanup, and corrections and consistency fixes.

The CALLHOME series consists of telephone conversations and transcripts developed by LDC and Rutgers, The State University of New Jersey, in support of research in speaker identification, language identification and related technologies. Languages in the series include American English, Egyptian Arabic, German, Japanese, Mandarin Chinese, and Spanish.

2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee.

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CALLHOME German Lexicon Second Edition was developed by LDC and contains 318,809 German words with morphological, phonological, stress and frequency information. This second edition updates file formats, directory structure and documentation. The first edition is available as CALLHOME German Lexicon (LDC97L18).

The words in the lexicon were derived from the CELEX German lexicon (CELEX2 (LDC96L14)) and from 100 training and development transcripts representing unscripted telephone conversations between native German speakers contained in CALLHOME German Second Edition LDC2026S04.

The lexicon has seven tab-separated information fields: (1) headword: orthographic form; (2) morph: morphological analysis of the headword; (3) pron: pronunciation of the headword; (4) stress: primary stress information of the word; (5) celex: whether the headword appears in the CELEX German lexicon; (6) train_freq: frequency of the headword in the CALLHOME training transcripts; and (7) dev_freq: frequency of the headword in the CALLHOME development transcripts. This release also includes a pronunciation dictionary derived from the lexicon in CMUdict format.

2026 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. Non-members may license this data for a fee.

Monday, December 17, 2018

LDC 2018 December Newsletter

LDC Membership Discounts for MY2019 Still Available

Spring 2019 LDC Data Scholarship Program - deadline approaching
New publications:
LDC Membership Discounts for MY2019 Still Available
Join LDC while membership savings are still available. Now through March 1, 2019, renewing MY2018 members will receive a 10% discount off the membership fee. New or non-consecutive member organizations will receive a 5% discount. Membership remains the most economical way to access LDC releases. Visit Join LDC for details on membership options and benefits.

Spring 2019 LDC Data Scholarship Program - deadline approaching 
Students can apply for the Spring 2019 Data Scholarship Program now through January 15, 2019. The LDC Data Scholarship program provides students with access to LDC data at no cost. For more information on application requirements and program rules, please visit LDC Data Scholarships. 

New publications:
(1) HUB5 Mandarin Telephone Speech and Transcripts Second Edition was developed by LDC in support of US government projects for language recognition and Large Vocabulary Conversational Speech Recognition (LVCSR). The first edition was released by LDC in two data sets, HUB5 Mandarin Telephone Speech Corpus (LDC98S69) and HUB5 Mandarin Transcripts (LDC98T26). This second edition merges the speech and transcript releases, updates the audio format, and adds Pinyin transcripts, forced alignment, and updated documentation and metadata.

This corpus contains approximately 19 hours of Mandarin speech from 42 unscripted telephone conversations between native speakers of Mandarin from CALLFRIEND Mandarin Chinese-Mainland Dialect (LDC96S55), which has also been released in a second, updated edition (LDC2018S09) and (2) associated transcripts of contiguous 5-30 minute segments from those telephone conversations.

Participants could speak with a person of their choice on any topic; most called family members and friends. The recorded conversations lasted up to 30 minutes. Transcripts were created manually by native Mandarin speakers in the GB2312 encoding schema. This release includes Pinyin transcripts and the original transcripts, both in UTF-8 format. 

HUB5 Mandarin Telephone Speech and Transcripts Second Edition is available via web download. 

2018 Subscription Members will automatically receive copies of this corpus. 2018 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.


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(2) Nautilus Speaker Characterization was developed at the Technical University of Berlin and is comprised of approximately 155 hours of conversational speech from 300 German speakers aged 18 to 35 years (126 males and 174 females) with no marked dialect or accent, recorded in an acoustically-isolated room. The corpus was designed to support research on the detection of speaker social characteristics, such as personality, charisma, and voice attractiveness.

Four scripted and four semi-spontaneous dialogs simulating telephone call inquiries were elicited from the speakers. Additionally, spontaneous neutral and emotional speech utterances (predominantly excitement or frustration) and questions were produced.

Speech corresponding to one of the semi-spontaneous dialogs was evaluated with respect to 34 continuous numeric labels of perceived interpersonal speaker characteristics (such as likable, attractive, competent, childish). For a set of 20 selected "extreme" speakers evaluated for their warmth-attractiveness, 34 naive voice descriptions (such as bright, creaky, articulate, melodious) were also evaluated. The corpus contains all labels, together with the speech recordings and the speakers' metadata (e.g., age, gender, place of birth, chronological places of residence and duration of stay, parents' place of birth, self-assessed personality).

Nautilus Speaker Characterization is available via web download. 

2018 Subscription Members will receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2018 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data at no cost.

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(3) TAC Relation Extraction Dataset (TACRED) was developed by The Stanford NLP Group and is a large-scale relation extraction dataset with 106,264 examples built over English newswire and web text used in the NIST TAC KBP English slot filling evaluations during the period 2009-2014. The annotations were derived from TAC KBP relation types (see the guidelines), from human annotations developed by LDC and from crowdsourcing using Mechanical Turk.

Source corpora used for this dataset were TAC KBP Comprehensive English Source Corpora 2009-2014 (LDC2018T03) and TAC KBP English Regular Slot Filling - Comprehensive Training and Evaluation Data 2009-2014 (LDC2018T22). For detailed information about the dataset and benchmark results, please refer to the TACRED paper.

TAC Relation Extraction Dataset is available via web download. 

2018 Subscription Members will automatically receive copies of this corpus. 2018 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee.